Applied mathematics

Random processes are one of the most powerful tools in the study and understanding of countless phenomena in natural and social sciences.

Slime mould Physarum polycephalum is a monstrous single cell well known for its task-solving abilities - solves computational geometry and logical problems, navigates robots and generates music.

Analysis, modeling, and simulation for better understanding of diverse complex natural and social phenomena often require powerful tools and analytical methods.

This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2019), which was held in Goa, India, on 16-17 August 2019.

The main goal is to offer to readers a panorama of recent progress in nonlinear physics, complexity and transport with attractive chapters readable by a broad audience.

This book contains high-quality papers presented at the First International Forum on Financial Mathematics and Financial Technology.

This book presents the understanding of how the different forms of regulatory mechanisms, like birth and death, competition, consumption and the like, result in changes in the stability and dynamics of ecological systems.

This book investigates two types of static multi-fidelity surrogates modeling approaches, sequential multi-fidelity surrogates modeling approaches, the multi-fidelity surrogates-assisted efficient global optimization, reliability analysis, robust design optimization, and evolutionary optimization.

This book presents high-quality research papers presented at 2nd International Conference on Smart Data Intelligence (ICSMDI 2022) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during April 2022.

This invaluable book is the first of its kind on 'selforganizology', the science of self-organization.

Questions about variation, similarity, enumeration, and classification of musical structures have long intrigued both musicians and mathematicians.

This book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture.

This book belongs to the subject of control and systems theory.

This book aims to introduce some new trends and results on the study of the fractional differential equations, and to provide a good understanding of this field to beginners who are interested in this field, which is the authors' beautiful hope.

This book focuses on unhealthy cyber-physical systems.

The book Complexity and Control: Towards a Rigorous Behavioral Theory of Complex Dynamical Systems is a graduate-level monographic textbook, intended to be a novel and rigorous contribution to modern Complexity Theory.

The multiple signal demixing and parameter estimation problems that result from the impacts of background noise and interference are issues that are frequently encountered in the fields of radar, sonar, communications, and navigation.

Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques.

The study of attractors of dynamical systems occupies an important position in the modern qualitative theory of differential equations.

Robot Hands and Multi-Fingered Haptic Interfaces is a monograph focusing on the comparison of human hands with robot hands, the fundamentals behind designing and creating the latter, and robotics' latest advancements in haptic technology.

This book focuses on oilfield performance analysis and development adjustment by integrating geology, applied mathematics, and other relevant theories.

This book collects chapters on contemporary topics on metric fixed point theory and its applications in science, engineering, fractals, and behavioral sciences.

This is a book of a series on interdisciplinary topics of the Biological and Mathematical Sciences.

This book consists of a series of new, peer-reviewed papers in stochastic processes, analysis, filtering and control, with particular emphasis on mathematical finance, actuarial science and engineering.

This book features selected papers presented at the 2nd International Conference on Advanced Computing Technologies and Applications, held at SVKM's Dwarkadas J.

In this book, we present our systematic investigations into consensus in multi-agent systems.

This volume contains the current research in quantum probability, infinite dimensional analysis and related topics.

This book explores various renewal processes in the context of probability theory, uncertainty theory and chance theory.

The field of computational sciences has seen a considerable development in mathematics, engineering sciences, and economic equilibrium theory.

This book provides a comprehensive review of industry 4.

This book on complexity science comprises a collection of chapters on methods and principles from a wide variety of disciplinary fields - from physics and chemistry to biology and the social sciences.

The goal of this book is to present Stochastic Calculus at an introductory level and not at its maximum mathematical detail.

This monograph reports a thought experiment with a mathematical structure intended to illustrate the workings of a mind.

Structural Equation Modeling provides a conceptual and mathematical understanding of structural equation modelling, helping readers across disciplines understand how to test or validate theoretical models, and build relationships between observed variables.

This second volume of the book series shows R-calculus is a combination of one monotonic tableau proof system and one non-monotonic one.

This is a comprehensive, state-of-the-art, treatise on the energetic mechanics of Lagrange and Hamilton, that is, classical analytical dynamics, and its principal applications to constrained systems (contact, rolling, and servoconstraints).

This book highlights mathematical ideas to help explain a number of important aspects of the dynamics of social groups.

This book provides up-to-date developments in the stability analysis and (anti-)synchronization control area for complex-valued neural networks systems with time delay.

This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks.

This book offers an overview of advanced techniques to study atmospheric dynamics by numerical experimentation.

This monograph presents a modern treatment of (1) stochastic differential equations and (2) diffusion and jump-diffusion processes.

'The book remains a valuable tool both for statisticians who are already familiar with the theory of copulas and just need to develop sampling algorithms, and for practitioners who want to learn copulas and implement the simulation techniques needed to exploit the potential of copulas in applications.

This book introduces a mathematical theory for the interaction of oceanic surface gravity waves and oceanic currents.

Multi-scale and multi-physics modeling is useful and important for all areas in engineering and sciences.

This book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection systematically, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time.

Why should we use white noise analysis?

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020.

This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/Hinfinity theory-based approaches and contemporary stochastic optimization techniques.

This book discusses significant research findings in the field of mathematical modelling, with particular emphasis on important applied-sciences, health, and social issues.

This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021).